Ashis Kumar Paul, Arpan Basu, Mufti Mahmud, M. Shamim Kaiser et al.
Novel Coronavirus 2019 disease or COVID-19 is a viral disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The use of chest X-rays (CXRs) has become an important practice to assist in the diagnosis of COVID-19 as they can be used to detect the abnormalities developed in th...
Zarrin Tasnim, Sovon Chakraborty, F. M. Javed Mehedi Shamrat, Ali Newaz Chowdhury et al.
In recent years, the area of Medicine and Healthcare has made significant advances with the assistance of computational technology. During this time, new diagnostic techniques were developed. Cancer is the world's second-largest cause of mortality, claiming the lives of one out of every six individu...
Md Manjurul Ahsan, Md Tanvir Ahad, Farzana Akter Soma, Shuva Paul et al.
Chest radiographs (X-rays) combined with Deep Convolutional Neural Network (CNN) methods have been demonstrated to detect and diagnose the onset of COVID-19, the disease caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). However, questions remain regarding the accuracy of th...
Rafid Mostafiz, Mohammad Shorif Uddin, Nur-A- Alam, Md. Mahfuz Reza et al.
Chest X-ray image contains sufficient information that finds wide-spread applications in diverse disease diagnosis and decision making to assist the medical experts. This paper has proposed an intelligent approach to detect Covid-19 from the chest X-ray image using the hybridization of deep convolut...
Tahir Hussain, Hayaru Shouno, Abid Hussain, Dostdar Hussain et al.
The rapid advancement of medical imaging technologies requires the development of advanced, automated, and interpretable diagnostic tools for clinical decision-making. Although convolutional neural networks (CNNs) have shown significant promise in medical image analysis, they have limitations in cap...
Shahab Ahmad, Tahir Ullah, Ijaz Ahmad, Abdulkarem AL-Sharabi et al.
Cancer has been found as a heterogeneous disease with various subtypes and aims to destroy the body's normal cells abruptly. As a result, it is essential to detect and prognosis the distinct type of cancer since they may help cancer survivors with treatment in the early stage. It must also divide ca...
Yiping Jiao, Junhong Li, Chenqi Qian, Shumin Fei
BACKGROUND AND OBJECTIVE Colon cancer is a fatal disease, and a comprehensive understanding of the tumor microenvironment (TME) could lead to better risk stratification, prognosis prediction, and therapy management. In this paper, we focused on the automatic evaluation of TME in giga-pixel digital h...
Md. Rakibul Islam, Md Mahbubur Rahman, Md Shahin Ali, Abdullah Al Nomaan Nafi et al.
Breast cancer is a condition where the irregular growth of breast cells occurs uncontrollably, leading to the formation of tumors. It poses a significant threat to women’s lives globally, emphasizing the need for enhanced methods of detecting and categorizing the disease. In this work, we propose an...
Mst. Nilufa Yeasmin, Md Al Amin, Tasmim Jamal Joti, Zeyar Aung et al.
Over the past two decades, computer-aided detection and diagnosis have emerged as a field of research. The primary goal is to enhance the diagnostic and treatment procedures for radiologists and clinicians in medical image analysis. With the help of big data and advanced artificial intelligence (AI)...
Md. Kamrul Hasan, Sakil Ahmed, Z. M. Ekram Abdullah, Mohammad Monirujjaman Khan et al.
The COVID-19 pandemic has wreaked havoc in the daily life of human beings and devastated many economies worldwide, claiming millions of lives so far. Studies on COVID-19 have shown that older adults and people with a history of various medical issues, specifically prior cases of pneumonia, are at a ...
Rezuana Haque, Md. Mehedi Hassan, Anupam Kumar Bairagi, Sheikh Mohammed Shariful Islam
Brain tumors (BTs) are one of the deadliest diseases that can significantly shorten a person's life. In recent years, deep learning has become increasingly popular for detecting and classifying BTs. In this paper, we propose a deep neural network architecture called NeuroNet19. It utilizes VGG19 as ...
Abhishta Bhandari, Rebecca Liong, Jarrad Koppen, Shashidhar Venkatesh Murthy et al.
<h3>BACKGROUND:</h3> Determination of <i>isocitrate dehydrogenase</i> (<i>IDH</i>) status and, if <i>IDH</i>-mutant, assessing 1p19q codeletion are an important component of diagnosis of World Health Organization grades II/III or lower-grade gliomas. This has led to research into noninvasively corre...
Mabrook Al‐Rakhami, Md. Milon Islam, Md. Zabirul Islam, Amanullah Asraf et al.
Abstract The confrontation of COVID-19 pandemic has become one of the promising challenges of the world healthcare. Accurate and fast diagnosis of COVID-19 cases is essential for correct medical treatment to control this pandemic. Compared with the reverse-transcription polymerase chain reaction (RT...
Faisal Muhammad Shah, Sajib Kumar Saha Joy, Farzad Ahmed, Tonmoy Hossain et al.
The outbreak of the Coronavirus disease 2019 (COVID-19) caused the death of a large number of people and declared as a pandemic by the World Health Organization. Millions of people are infected by this virus and are still getting infected every day. As the cost and required time of conventional Reve...
Sakib Mahmud, Tariq O. Abbas, Adam Mushtak, Johayra Prithula et al.
Kidney cancers are one of the most common malignancies worldwide. Accurate diagnosis is a critical step in the management of kidney cancer patients and is influenced by multiple factors including tumor size or volume, cancer types and stages, etc. For malignant tumors, partial or radical surgery of ...